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Article

Structure-guided engineering of AI-derived adenine base editors for nuclear and mitochondrial DNA editing.

Nucleic acids research - 17 Jul 2026

Hwang Hye-Yeon, Mariam Nabukenya, Kweon Jiyeon, Yi Hwalin, Jang Gayoung, Roh Jiyoo, Lim Kayeong, Park Jae-Hyun, Kim Yongsub, Kim Daesik

Abstract excerpt

Traditional adenine base editors (ABEs), primarily derived from TadA, suffer from bystander editing and limited diversity, while artificial intelligence (AI)-designed deaminases such as Deam-P32 exhibit lower efficiency and precision than state-of-the-art editors such as ABE8e. Here, we report the OpenABE variants through the structure-guided evolution of Deam-P32 by optimizing DNA engagement and the...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 42475680
DOI: 10.1093/nar/gkag737
PMCID: PMC13384257

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